CN108266336B - Wind power equipment maintenance strategy decision system - Google Patents

Wind power equipment maintenance strategy decision system Download PDF

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Publication number
CN108266336B
CN108266336B CN201810013791.XA CN201810013791A CN108266336B CN 108266336 B CN108266336 B CN 108266336B CN 201810013791 A CN201810013791 A CN 201810013791A CN 108266336 B CN108266336 B CN 108266336B
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maintenance
module
wind power
power equipment
decision
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CN108266336A (en
Inventor
尹浩霖
彭加立
王晟
杨静
柳亦兵
王磊
李霸军
赵磊
潘肖宇
王达梦
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PowerChina New Energy Group Co Ltd
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PowerChina New Energy Group Co Ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D80/00Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
    • F03D80/50Maintenance or repair
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D17/00Monitoring or testing of wind motors, e.g. diagnostics
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Wind Motors (AREA)

Abstract

The invention discloses a wind power equipment maintenance strategy decision system, which comprises a fault parameter determination module, a wind power equipment fault parameter category judgment module, a maintenance mode decision module and a maintenance interval decision module; the wind power equipment fault parameter type judging module is connected with a maintenance mode decision module, and the maintenance mode decision module is connected with a maintenance interval decision module; the maintenance mode decision module in the wind power equipment maintenance decision system determines a specific maintenance mode of the wind power equipment according to the judgment result obtained by the wind power equipment fault parameter class judgment module, and further determines a specific maintenance interval of the wind power equipment according to the maintenance mode determined by the maintenance mode decision module and simultaneously referring to the result obtained by the wind power equipment fault parameter class judgment module; the system is simple and comprehensive, and has wide application prospect in the field of wind power equipment maintenance.

Description

Wind power equipment maintenance strategy decision system
Technical Field
The invention relates to the technical field of wind power equipment maintenance, in particular to a wind power equipment maintenance strategy decision system.
Background
The development of the wind power industry in China is rapid, the single-machine capacity and the accumulated installed capacity are increased year by year, the design and manufacturing level is continuously improved, but the operation and maintenance level of wind power equipment is low. The maintenance strategy adopted by the wind farm at present is that regular maintenance and post-maintenance are carried out. Such maintenance strategies lack pertinence, resulting in severe "over-repair" and "under-repair", being more passive in the face of faults with serious consequences, and in actual operation of the wind farm, maintenance costs occupy 25-30% of the generation cost. This maintenance strategy proves to be low, both theoretically and practically.
What maintenance strategy can improve equipment reliability, improve maintenance efficiency and reduce maintenance cost is a critical problem to be solved in the face of the current lagging maintenance level of wind power equipment.
Disclosure of Invention
The invention aims to solve the defects of the prior art, and aims to develop a conductive hydrogel capable of being printed in 3D, and the conductive function is realized by coupling PEGDA hydrogel with an interfacial polymerization technology. By combining with the 3D printing technology, the conductive hydrogel structures with various shapes can be simply and efficiently prepared.
The invention realizes the above purpose through the following technical scheme:
the wind power equipment fault parameter determining module comprises a fault parameter determining module, a wind power equipment fault parameter category judging module, a maintenance mode decision module and a maintenance interval decision module;
the wind power equipment fault parameter type judging module is connected with a maintenance mode decision module, and the maintenance mode decision module is connected with a maintenance interval decision module;
the fault parameter determining module determines four parameter sizes of wind power equipment faults, including determining importance level, average fault interval time, state detection cost and failure rate type;
the wind power equipment fault parameter type judging module is used for judging the conditions of the types of the fault parameters of the wind power equipment, including important judgment, average fault interval time judgment, state detection cost and difficulty judgment and failure rate type judgment, and transmitting the judging results to the maintenance mode decision module;
the maintenance mode decision module is used for making decision judgment on the maintenance mode of the wind power equipment, and the determinable maintenance mode comprises periodic maintenance, optionally maintenance, post maintenance and improved maintenance, and the result is transmitted to the maintenance interval decision module;
the maintenance interval decision module is used for making decision judgment on the maintenance interval of the wind power equipment, and the judgment basis is the result obtained by the fault parameter determination module and the maintenance mode determined by the maintenance mode decision module.
Preferably, the fault parameter determining module comprises importance degree determining, average fault interval time determining, state detection cost determining and failure rate type determining;
and the determination results of all parts of the fault parameter determination module are simultaneously used as the basis of the wind power equipment fault parameter category judgment module and the maintenance interval decision module.
Preferably, the wind power equipment fault parameter type judging module judges four parts, including whether to judge importance, average fault interval time, state detection cost and failure rate type;
and judging results of all parts of the wind power equipment fault parameter type judging module are used as decision basis of the maintenance mode decision module.
Preferably, the maintenance mode decision module decision result comprises regular maintenance, optionally maintenance, post maintenance and improved maintenance;
the wind power equipment fault parameter type judging module has the advantages that the result is important, the average fault interval time is long, the condition of state detection is high in cost and difficult, the failure rate type is B/C, and the maintenance mode decision is regular maintenance;
the wind power equipment fault parameter type judging module has the advantages that the result is important, the average fault interval time is long, the condition detection condition cost is low, the failure rate type is B/C, and the maintenance mode decision is made as the maintenance according to conditions;
the wind power equipment fault parameter type judging module has the advantages that the result is important, the average fault interval time is long, the condition cost of state detection is not required to be judged, the failure rate type is D/E/F, and the maintenance mode decision is made as to be maintained according to conditions;
the wind power equipment fault parameter type judging module has the advantages that the result is important, the average fault interval time is short, the condition cost of state detection is not required to be judged, the failure rate type is D/E/F, and the maintenance mode decision is improved maintenance;
the wind power equipment fault parameter type judging module has the advantages that the result is important, the average fault interval time is short, the condition cost of state detection is not required to be judged, the failure rate type is B/C, and the maintenance mode decision is made as to be maintained according to conditions;
the wind power equipment fault parameter type judging module has the advantages that the result is unimportant, the average fault interval time is not required to be judged, the state detection condition cost is not required to be judged, the failure rate type is not required to be judged, and the maintenance mode decision is made as post maintenance.
In the invention, preferably, the maintenance interval decision module mainly refers to the decision result of the maintenance mode decision module, the failure rate type determined by the fault parameter determination module and the determination of the average fault interval time.
In the invention, preferably, the decision result of the maintenance mode decision module is regular maintenance, the failure rate judgment result of the wind power equipment fault parameter type judgment module is B/C, and the maintenance interval decision is determined by referring to the failure rate curve of the fault parameter determination module.
In the invention, preferably, the decision result of the maintenance mode decision module is maintenance according to conditions, the failure rate judgment result of the wind power equipment failure parameter type judgment module is B/C, and the maintenance interval decision is determined by referring to the failure rate curve of the failure parameter determination module.
In the invention, preferably, the decision result of the maintenance mode decision module is maintenance according to conditions, the failure rate judgment result of the wind power equipment fault parameter type judgment module is D/E/F, and the maintenance interval decision is determined by referring to the average fault interval time of the fault parameter determination module.
In the invention, preferably, the decision result of the maintenance mode decision module is improved maintenance, and maintenance interval decision is not needed;
the maintenance mode decision module decides that the maintenance is carried out according to the condition, the failure rate judgment result of the wind power equipment failure parameter class judgment module is B/C, and the maintenance interval decision is determined by referring to the failure rate curve of the failure parameter determination module;
the decision result of the maintenance mode decision module is post maintenance, and maintenance interval decision is not needed.
The invention has the beneficial effects that:
the invention provides a wind power equipment maintenance strategy decision system which can respectively decide a maintenance strategy suitable for each wind power equipment according to the actual characteristics of the faults of the wind power equipment.
Drawings
FIG. 1 is a schematic structural diagram of a wind power plant maintenance strategy decision system according to the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings:
example 1
As shown in fig. 1, a wind power equipment maintenance strategy decision system comprises a fault parameter determination module 1, a wind power equipment fault parameter category judgment module 2, a maintenance mode decision module 3 and a maintenance interval decision module 4;
the wind power equipment fault parameter type judging module 2 is connected with the maintenance mode decision module 3, and the maintenance mode decision module 3 is connected with the maintenance interval decision module 4;
the fault parameter determining module 1 determines four parameter sizes of wind power equipment faults, including importance degree, average fault interval time and state detection cost and failure rate type;
the wind power equipment fault parameter type judging module 2 is used for judging the type conditions of each fault parameter of the wind power equipment, including important judgment, average fault interval time judgment, state detection cost and difficulty judgment and failure rate type judgment, and transmitting the judging result to the maintenance mode decision module;
the maintenance mode decision module 3 is used for making decision judgment on the maintenance mode of the wind power equipment, and the determinable maintenance mode comprises periodic maintenance, optionally maintenance, post maintenance and improved maintenance, and the result is transmitted to the maintenance interval decision module;
the maintenance interval decision module 4 is used for making decision judgment on the maintenance interval of the wind power equipment, and the basis of the judgment is the result obtained by the fault parameter determination module and the maintenance mode determined by the maintenance mode decision module.
According to the system, the maintenance strategies suitable for the wind power equipment can be respectively determined according to the actual characteristics of the faults of the wind power equipment.
Specifically, the fault parameter determination module 1 includes an importance determination 11, an average fault interval determination 12, a status detection cost determination 13, and a failure rate type determination 14;
the determination results of all parts of the fault parameter determination module 1 are simultaneously used as the basis of the wind power equipment fault parameter category judgment module and the maintenance interval decision module.
Specifically, the wind power equipment fault parameter type judging module 2 judges whether the judgment is important 21, judges the average fault interval time 22, judges the difficulty and easiness of state detection cost 23 and judges the failure rate type 24;
and judging results of all parts of the wind power equipment fault parameter type judging module are used as decision basis of the maintenance mode decision module.
Specifically, the decision result of the maintenance mode decision module 3 includes a periodic maintenance 31, an optional maintenance 32, a post maintenance 33 and an improved maintenance 34;
the wind power equipment fault parameter type judging module 2 has the following results: important, long average fault interval time, high and difficult condition detection cost, B/C failure rate type, and regular maintenance 31 for maintenance mode decision;
the wind power equipment fault parameter type judging module 2 has the following results: important, long average fault interval time, low cost and easy condition detection, B/C failure rate type, and maintenance mode decision as optional maintenance 32;
the wind power equipment fault parameter type judging module 2 has the following results: important, long average fault interval time, no need of judging the condition cost of state detection, D/E/F failure rate type, and maintenance mode decision as optional maintenance 32;
the wind power equipment fault parameter type judging module 2 has the following results: important, short average fault interval time, no need of judging the condition cost of state detection, D/E/F failure rate type, and improved maintenance 34 for maintenance mode decision;
the wind power equipment fault parameter type judging module 2 has the following results: important, short average fault interval time, no need of judging the condition cost of state detection, B/C failure rate type, and maintenance mode decision of maintenance according to conditions 32;
the wind power equipment fault parameter type judging module results are as follows: the maintenance mode decision is post maintenance 33, which is not important, the average fault interval time is not required to be judged, the status detection condition cost is not required to be judged, the failure rate type is not required to be judged.
Specifically, the maintenance interval decision module 4 mainly refers to the decision result of the maintenance mode decision module 3, the failure rate type determined by the failure parameter determination module 1 and the determination of the average failure interval time;
the maintenance mode decision module 3 decides that the result is regular maintenance, the failure rate judgment result of the wind power equipment failure parameter class judgment module is B/C, and the maintenance interval decision reference 41 failure rate curve of the failure parameter determination module is determined;
the maintenance mode decision module 3 decides that the maintenance is carried out according to the condition, the failure rate judgment result of the wind power equipment failure parameter class judgment module is B/C, and the maintenance interval decision is determined by referring to the failure rate curve of the failure parameter determination module 41;
the maintenance mode decision module 3 decides that the maintenance is carried out according to the condition, the failure rate judgment result of the wind power equipment fault parameter class judgment module is D/E/F, and the maintenance interval decision is determined by referring to the average fault interval time of the 42 fault parameter determination module;
the decision result of the maintenance mode decision module 3 is improved maintenance, and maintenance interval decision 43 is not needed;
the maintenance mode decision module 3 decides that the maintenance is carried out according to the condition, the failure rate judgment result of the wind power equipment failure parameter class judgment module is B/C, and the maintenance interval decision is determined by referring to the failure rate curve of the failure parameter determination module 41;
the decision result of the maintenance mode decision module 3 is post maintenance, and maintenance interval decision is not needed.
According to the actual characteristics of faults of each wind power equipment, the maintenance strategy which is suitable for the faults is respectively determined.
The data sources of the fault parameter determining module 1 are fault record data of the wind farm site, including operation tickets recorded manually, faults recorded automatically by the system and the like.
In summary, the invention provides a wind power equipment maintenance strategy decision system, wherein a maintenance mode decision module in the wind power equipment maintenance decision system determines a specific maintenance mode of wind power equipment according to a judgment result obtained by a wind power equipment fault parameter type judgment module, and further determines a specific maintenance interval of the wind power equipment according to the maintenance mode determined by the maintenance mode decision module and by referring to a result obtained by the wind power equipment fault parameter type judgment module.
Those skilled in the art can implement the present invention in many modifications without departing from the spirit and scope of the present invention, and the present invention is not limited to the preferred embodiments of the present invention, but includes all equivalent structural modifications which are made in the present invention by the description and the accompanying drawings.

Claims (3)

1. The wind power equipment maintenance strategy decision system is characterized by comprising a fault parameter determination module, a wind power equipment fault parameter category judgment module, a maintenance mode decision module and a maintenance interval decision module;
the wind power equipment fault parameter type judging module is connected with a maintenance mode decision module, and the maintenance mode decision module is connected with a maintenance interval decision module;
the fault parameter determining module determines four parameter sizes of wind power equipment faults, including determining importance level, average fault interval time, state detection cost and failure rate type;
the wind power equipment fault parameter type judging module is used for judging the conditions of the types of the fault parameters of the wind power equipment, including important judgment, average fault interval time judgment, state detection cost and difficulty judgment and failure rate type judgment, and transmitting the judging results to the maintenance mode decision module;
the maintenance mode decision module is used for making decision judgment on the maintenance mode of the wind power equipment, and the determinable maintenance mode comprises periodic maintenance, optionally maintenance, post maintenance and improved maintenance, and the result is transmitted to the maintenance interval decision module;
the maintenance interval decision module is used for making decision judgment on the maintenance interval of the wind power equipment, and the judgment basis is the result obtained by the fault parameter determination module and the maintenance mode determined by the maintenance mode decision module;
the maintenance mode decision module decision result comprises regular maintenance, optionally maintenance, post maintenance and improved maintenance;
the wind power equipment fault parameter type judging module has the advantages that the result is important, the average fault interval time is long, the condition of state detection is high in cost and difficult, the failure rate type is B/C, and the maintenance mode decision is regular maintenance;
the wind power equipment fault parameter type judging module has the advantages that the result is important, the average fault interval time is long, the condition detection condition cost is low, the failure rate type is B/C, and the maintenance mode decision is made as the maintenance according to conditions;
the wind power equipment fault parameter type judging module has the advantages that the result is important, the average fault interval time is long, the condition cost of state detection is not required to be judged, the failure rate type is D/E/F, and the maintenance mode decision is made as to be maintained according to conditions;
the wind power equipment fault parameter type judging module has the advantages that the result is important, the average fault interval time is short, the condition cost of state detection is not required to be judged, the failure rate type is D/E/F, and the maintenance mode decision is improved maintenance;
the wind power equipment fault parameter type judging module has the advantages that the result is important, the average fault interval time is short, the condition cost of state detection is not required to be judged, the failure rate type is B/C, and the maintenance mode decision is made as to be maintained according to conditions;
the wind power equipment fault parameter type judging module has the advantages that the result is unimportant, the average fault interval time is not required to be judged, the state detection condition cost is not required to be judged, the failure rate type is not required to be judged, and the maintenance mode decision is made as post maintenance;
the maintenance interval decision module mainly refers to the decision result of the maintenance mode decision module, the failure rate type determined by the fault parameter determination module and the determination of the average fault interval time;
the maintenance mode decision module decides that the maintenance is regular, the failure rate of the wind power equipment fault parameter type judgment module decides that the failure rate is B/C, and the maintenance interval decision is determined by referring to the failure rate curve of the fault parameter determination module;
the maintenance mode decision module decides that the maintenance is carried out according to the condition, the failure rate judgment result of the wind power equipment failure parameter class judgment module is B/C, and the maintenance interval decision is determined by referring to the failure rate curve of the failure parameter determination module;
the maintenance mode decision module decides that the maintenance is carried out according to the condition, the failure rate judgment result of the wind power equipment fault parameter class judgment module is D/E/F, and the maintenance interval decision refers to the average fault interval time of the fault parameter determination module to determine;
the maintenance mode decision module decides that the result is improved maintenance, and maintenance interval decision is not needed;
the maintenance mode decision module decides that the maintenance is carried out according to the condition, the failure rate judgment result of the wind power equipment failure parameter class judgment module is B/C, and the maintenance interval decision is determined by referring to the failure rate curve of the failure parameter determination module;
the decision result of the maintenance mode decision module is post maintenance, and maintenance interval decision is not needed.
2. The wind power plant maintenance policy decision system of claim 1, wherein said failure parameter determination module includes importance determination, average inter-failure time determination, status detection cost determination, and failure rate type determination;
and the determination results of all parts of the fault parameter determination module are simultaneously used as the basis of the wind power equipment fault parameter category judgment module and the maintenance interval decision module.
3. The wind power equipment maintenance strategy decision system according to claim 2, wherein the wind power equipment fault parameter class judging module performs four-part judgment, including judgment of importance, judgment of average fault interval time, judgment of difficulty and easiness in state detection cost and judgment of failure rate type;
and judging results of all parts of the wind power equipment fault parameter type judging module are used as decision basis of the maintenance mode decision module.
CN201810013791.XA 2018-01-08 2018-01-08 Wind power equipment maintenance strategy decision system Active CN108266336B (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102495549A (en) * 2011-11-22 2012-06-13 中联重科股份有限公司 Remote maintenance decision system and method for engineering machinery
CN103020422A (en) * 2012-11-12 2013-04-03 中航沈飞民用飞机有限责任公司 Method for calculating maintenance time interval of civil aircraft system
CN103810328A (en) * 2014-01-16 2014-05-21 国家电网公司 Transformer maintenance decision method based on hybrid model
CN106096741A (en) * 2016-06-14 2016-11-09 国电南瑞科技股份有限公司 A kind of implementation method of Intelligent fault O&M DSS
CN106600095A (en) * 2016-07-27 2017-04-26 中国特种设备检测研究院 Reliability-based maintenance evaluation method
CN107229979A (en) * 2017-04-17 2017-10-03 北京航空航天大学 A kind of optimization method of repairable deteriorating system periodicity preventive maintenance strategy
CN107544457A (en) * 2017-08-31 2018-01-05 广东石油化工学院 Refinery plant running cycle expert decision system and method based on fail-safe analysis

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102495549A (en) * 2011-11-22 2012-06-13 中联重科股份有限公司 Remote maintenance decision system and method for engineering machinery
CN103020422A (en) * 2012-11-12 2013-04-03 中航沈飞民用飞机有限责任公司 Method for calculating maintenance time interval of civil aircraft system
CN103810328A (en) * 2014-01-16 2014-05-21 国家电网公司 Transformer maintenance decision method based on hybrid model
CN106096741A (en) * 2016-06-14 2016-11-09 国电南瑞科技股份有限公司 A kind of implementation method of Intelligent fault O&M DSS
CN106600095A (en) * 2016-07-27 2017-04-26 中国特种设备检测研究院 Reliability-based maintenance evaluation method
CN107229979A (en) * 2017-04-17 2017-10-03 北京航空航天大学 A kind of optimization method of repairable deteriorating system periodicity preventive maintenance strategy
CN107544457A (en) * 2017-08-31 2018-01-05 广东石油化工学院 Refinery plant running cycle expert decision system and method based on fail-safe analysis

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